Top 16 Applications of Python with Examples

In this tutorial, we will familiarize about top 16 applications of Python programming language with examples in the real world of programming.

Python is one of the most widely used open source, general purpose, and dynamic programming languages.

It contains a rich set of packages, GUI libraries, and web frameworks that enable us to develop efficient cross-platform applications.

Today, Python is the fastest growing programming language in the tech world. We can develop any application rapidly with Python.

Some of the globally known applications such as Git, Wikipedia, YouTube, BitTorrent, Dropbox, Reddit, Uber, etc. use Python to achieve their functionality.

So, let’s get discussed the top 10 uses of Python in the real tech world.

Applications or Uses of Python with Examples

There are the following application areas in which Python can be used for. They are as:

  • Developing web applications
  • Desktop GUI applications
  • Data analysis
  • Machine learning and artificial intelligence applications
  • Statistics
  • Cloud computing
  • Software development
  • Scientific and Numeric
  • Business applications
  • Audio or Video-based applications
  • 3D CAD applications
  • Enterprise applications
  • Applications for images
  • HTTP operations
  • Natural language processing
  • Console-based application
  • Game development

Applications of Python programming in real world

1. Developing Web Applications

With Python, we can develop web applications at a rapid rate. It comes with several pre-supported standard libraries to handle internet protocols like HTML, XML, JSON, email processing, IMAP, FTP, SSL, easy-to-use socket interfaces, beautifulSoup, Feedparser, etc.

Python provides many useful and popular web frameworks to make applications. They are as follows:

  • Django and Pyramid framework (High-level framework, used for heavy applications)
  • Flask and Bottle (Micro-framework)
  • Plone and Django CMS (Advance Content management)

Flask and Django are the two most popular Python web frameworks. We use both for different purposes. Flask is a micro framework that we use it to build for small applications with minimal requirements.

Django is a full-fledge high-level web framework. It enables us to build full featured web applications with relatively few lines of code.

It has in-built support for various web related services such as caching, serialization, internationalization, ORM support, website security, cookies, automatic admin interface, etc.

Today, many companies are using Python for developing web applications. Some of the companies which built web applications with Python are as:

(a) The world’s biggest online photo sharing application Instagram uses Python on its backend. According to Instagram’s engineering team, Instagram currently uses a Django web framework entirely written in Python.

(b) Dropbox uses Python. It is homes for all docs, files, photos, and videos.

(c) Pinterest use Python + heavily modified Django at the application layer. It is a social bookmarking site where users collect and share pics of their events, interests, and hobbies.

(d) Netflix uses Python because of its rich standard library, succinct and clean syntax, board developer community, and the wealth of third-party libraries. It is world’s leading internet television network of TV shows, movies, and original web series.

2. Desktop GUI Applications

A Graphical User Interface (GUI) provides a smooth and user-friendly interaction to any desktop application. It is a way for user to interact with computers.

Python provides a Tk graphics library that we can use to create a user interface for various applications. Tk is a simple toolkit widely used in a variety of other languages (Perl, PHP, Ruby, etc.) and available everywhere.

Some other popular GUI libraries provided by Python are as below.

  • Tkinter
  • wxWidgetM
  • Kivy (used for writing multi-touch applications )
  • PyQt or Pyside

Tkinter is an inbuilt Python module mostly used to make simple GUI desktop applications. It is an open source and portable GUI library designed for using in Python scripts. So, we do not need to install Tkinter module as it comes with Python by default.

3. Data Analysis

Python is the most favored by data researchers among the various programming languages (like Java, SQL, Matlab, SAS, R, etc). It provides a popular Pandas library for data analysis.

Pandas has two important data structures, namely Series and DataFrame. It can store any type of data, like integers, floats, strings, objects, and others. DataFrame is a tabular data structure with labelled rows and columns, same as an Excel spreadsheet.

You can use Pandas to fill in missing data, reshaping, indexing, merging, slicing, and joining of datasets. It also helps to read Comma-Separated Values (CSV) files, Microsoft Excel, SQL database, and HDF5 (Hierarchical Data Format) files.

4. Machine Learning and Artificial Intelligence Applications

Python provides pre-defined packages for developing machine learning and artificial intelligence applications. It made the developer’s life easy. Some of the popular pre-defined packages provided by Python are as:

  • Scikit-Learn (Popular)
  • Pandas
  • Numpy
  • Tensorflow
  • Keras
  • OpenCV
  • NLTK, etc.

5. Statistics

Python provides a popular standard library named Statsmodels used for statistical analysis. We can use Statsmodels library across various fileds like economics, finance, and engineering.

It also supports many models and features, such as linear regression models, generalized linear models, discrete choice models, and functions for time series analysis. We can also use Statsmodels library along with Pandas to fit statistical models.

6. Cloud Computing

OpenStack is an open source cloud computing infrastructure software written mainly in Python. It is used to create and manage both public cloud and private cloud infrastructure. It is highly reliable, vendor independent, has inbuilt security and provides decent load balancing.

OpenStack provides a dashboard as a central unit to manage network resources, processing power, and storage at a data center.

7. Software Development

We can use Python for the software development process. It acts as a help language and can be used for fabricating control and management, testing, and so forth.

  • SCons is an open source built tool written in the Python language widely used to build control.
  • Buildbot and Apache Gumps are frameworks used for automating software built, test, and release processes.
  • Round or Trac are frameworks written in Python for bug tracking and project management.

8. Scientific and Numeric

Python is widely useful in scientific and numeric computing. Python consists of five core scientific packages, namely SciPy library, NumPy, Jupyter, Sympy, and Matplotlib.

Most of these tools come under BSD (Berkeley Software Distribution) license. We can use these tools without any restrictions.

  • We mainly used SciPy library for numerical integration and optimization.
  • NumPy provides N-dimensional array objects, used to perform linear algebra, Fourier transform, and other mathematical operations.
  • Jupyter offers an interactive web-based interface which can be called by browser. We also use Jupyter library to write Python programs and create embeddable plots to visualize data.
  • We can use Sympy library to produce symbolic mathematics.
  • Matplotlib is the oldest and most popular plotting library in Python.

9. Business Applications

We can build business applications like online E-commerce and ERP (Enterprise Resource Planning). These kinds of application need extensively, scalability and readability to solve specific business needs of an organization. Python offers all these features to build business applications.

Oddo is a rapid application development framework written in Python. It is suitable for developing applications for business.

Tryton is a high-level general purpose framework written in Python, usually used for developing business applications and an Enterprise resource planning (ERP) business solutions. It comes under the GPL-3 licence. Tryton is a platform independent and supports Linux, OS X, and Windows.

10. Audio or Video based Applications

Python is outstanding in performing multiple tasks. We can use it for building multimedia applications. Some multimedia applications built by using Python libraries are cplay, TimPlayer, and so on.

Some of the widely used Python multimedia libraries are as below:

  • Gstreamer
  • Pyglet
  • QT Phonon

11. 3D CAD Applications

3D CAD, or three-dimensional computer-aided design, is a technology for design engineering related architecture. It helps to create a 3D representation of a part of a system.

To create 3D application Python Fandango is a popular Python library to create 3D CAD application. It provides all the features of CAD. Some other popular Python libraries for creating CAD with functionalities are as:

  • HeeksCNC
  • AnyCAD
  • RCAM

12. Enterprise Applications

An enterprise application (EA) is a large software system built to function in a corporate environment, such as business or government. We can use Python to create an enterprise application for an organisation. Some ongoing real-time applications are as:

  • OpenERP
  • Tryton
  • Picalo, etc.

13. Applications for Images

Python has several standard libraries that we can use to develop for image according to our requirements.Some examples of applications developed are VPython, Gogh, and imgSeek.

14. (Hypertext Transfer Protocol) HTTP Library

Python provides a standard HTTP library named urllib.request to carry out the most of the HTTP operations. But APIs (Application Programming Interfaces) of urllib.request are difficult to use and are verbose.

To overcome these problems, Python provides Requests library which handles HTTP requests. It supports all common verbs like POST, GET, PUT, and DELETE.

We use these verbs to create, read, update, and delete operations. Requests library also offers important features like thread safety, Cookie Persistence, Connection Timeouts, and support for International Domain. It is available under Apache license.

15. Natural Language Processing

Natural language processing is used to read and understand the text. Python provides a popular Natural Language Toolkit (NLTK) library for natural language processing.

NLTK contains many algorithms to understand the text. It has a huge corpus of datasets and lexical resources, such as journals, chat logs, movie reviews, etc. It comes under Apache license V2.0.

16. Console-based Applications

We can use Python to build console based applications. For example: IPython. Console-based applications are computer programs that run from the command line or shell. Python can build these applications effectively.

It offers a lot of free library or module to develop the command-line apps. Only need necessary IO libraries to read and write.

17. Game Development

Python also provides popular libraries for 2D and 3D game development. Some of the many Python libraries for development for 2D and 3D game are as:

  • PyGame
  • Pycap
  • Construct
  • Panda3D
  • PySoy
  • PyOpenGL

In this tutorial, we have discussed the top 16 applications of Python with examples. Python plays an essential role in the development of these kinds of applications. Hope that you will have understood all the basic points related to applications of Python programming language and enjoyed it.
Thanks for reading!!!
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